Advanced Analysis Techniques
An Introduction....
A little about me
Kit Double
I'm interested in
Metacognition
Self-assessment
Confidence
Goals for this paper
Useful
Fun
Fun
Not fear invoking
Link theory and practice
Some important links
WebLean
www.
Some important links
Software
Peek Slides
Make our first data set
# Make a variable
y <- c(7,5,9,3,2)
# Take a look
print(y)
y
# Make another variable
x <- c(3,6,18,2,5)
# Fix the typo
x <- c(3,6,8,2,5)
# And one more...
id <- 1001:1005
# Mash them together to make a data set
mydata <- cbind(id,x,y) #mashing
mydata <- as.data.frame(mydata) # make it into a 'data frame'
View(mydata)
# Clean up the variables
rm(id,x,y)
# Take a look again
print(y)
# Oh no...
# Take a look at the y variable in the data frame
print(mydata$y)
Open some data
# Read data from computer (MAC)
mydata <- read.csv("~/Desktop/AAT_s1.csv")
# Read data from computer (Windows)
mydata <- read.csv("C://Users/kitd/Desktop/AAT_s1.csv")
Installing our first package
# Install package
install.packages("lme4")
# Load package
library(lme4)
2019 AAT - Lecture 1
By kitdouble
2019 AAT - Lecture 1
- 376